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ABSTRACT: Background and purpose
To explore the integration of imaging and molecular data for response prediction to chemoradiotherapy (CRT) for rectal cancer.Material and methods
Eighty-five rectal cancer patients underwent preoperative CRT. 18F-FDG PET/CT and diffusion-weighted imaging (DWI) were acquired before (TP1) and during CRT (TP2) and prior to surgery (TP3). Inflammatory cytokines and gene expression were analysed. Tumour response was defined as ypT0-1N0. Multivariate models were built combining the obtained parameters. Final models were calculated on the data combination with the highest AUC.Results
Twenty-two patients (26%) achieved ypT0-1N0 response. 18F-FDG PET/CT had worse predictive performance than DWI and T2-volumetry (AUC 0.61±0.04, 0.
SUBMITTER: Joye I
PROVIDER: S-EPMC5641595 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature